Update README.md

README.md

@@ -73,5 +73,5 @@ Overall, the findings suggest that Pop and Rap dominate the charts because they
 
 Conclusion
 
-Through the exploratory data analysis (EDA), I cleaned and explored the Spotify dataset to understand how audio features relate to song popularity. This analysis shows that musical features alone cannot explain overall Spotify popularity, as correlations across the full dataset are very weak. However, focusing on the most successful tracks reveals clearer patterns: the Top 20 songs tend to share high danceability, energy, and positive emotional tone. Genre analysis shows that Pop, followed by Rap, dominates both the Top 20 and Top 100 songs. When comparing their audio profiles, Pop and Rap share many of the same characteristics linked to mainstream success, though each approaches them differently. Overall, the findings suggest that while production style varies, the most popular songs tend to be energetic, upbeat, and highly engaging, traits that align Pop and Rap most strongly with streaming success.
+Through the exploratory data analysis (EDA), I cleaned and explored the Spotify dataset to understand how audio features relate to song popularity. This analysis shows that musical features alone cannot explain overall Spotify popularity, as correlations across the full dataset are very weak. However, focusing on the most successful tracks reveals clearer patterns: the Top 20 songs tend to share high danceability, energy, and positive emotional tone. Genre analysis shows that Pop, followed by Rap, dominates both the Top 20 and Top 100 songs. When comparing their audio profiles, Pop and Rap share many of the same characteristics linked to mainstream success, though each approaches them differently. Overall, the findings suggest that the most popular songs tend to be energetic, upbeat, danicible and happy, traits that align Pop and Rap most strongly with popularity.